1 #include "opencv2/opencv.hpp"
 2 #include <iostream>
 3 using namespace std;
 4 using namespace cv;
 5 
 6 void main()
 7 {
 8     Mat temp=imread("E://mu.jpg");
 9     Mat src=imread("E://lena.jpg");
10     Mat dst=src.clone();
11     imshow("temp",temp);
12 
13     int width=src.cols-temp.cols+1;//result宽度
14     int height=src.rows-temp.rows+1;//result高度
15 
16     Mat result(height,width,CV_32FC1);//创建结果映射图像
17     //matchTemplate(srcImg, templateImg, resultImg, CV_TM_SQDIFF); //平方差匹配法(最好匹配0)
18     //matchTemplate(srcImg, templateImg, resultImg, CV_TM_SQDIFF_NORMED); //归一化平方差匹配法(最好匹配0)
19     //matchTemplate(srcImg, templateImg, resultImg, CV_TM_CCORR); //相关匹配法(最坏匹配0)
20     //matchTemplate(srcImg, templateImg, resultImg, CV_TM_CCORR_NORMED); //归一化相关匹配法(最坏匹配0)
21     //matchTemplate(srcImg, templateImg, resultImg, CV_TM_CCOEFF); //系数匹配法(最好匹配1)
22     matchTemplate(src,temp,result,CV_TM_CCOEFF_NORMED);//化相关系数匹配,最佳值1
23     imshow("result",result);
24     normalize(result,result,0,1,NORM_MINMAX,-1);//归一化到0-1范围
25 
26     double minValue,maxValue;
27     Point minLoc,maxLoc;
28     minMaxLoc(result,&minValue,&maxValue,&minLoc,&maxLoc);
29     cout<<"minValue="<<minValue<<endl;
30     cout<<"maxValue="<<maxValue<<endl;
31 
32     rectangle(dst,maxLoc,Point(maxLoc.x+temp.cols,maxLoc.y+temp.rows),Scalar(0,255,0),2,8);
33     imshow("dst",dst);
34 
35     waitKey(0);
36 }

 1 #include "opencv2/opencv.hpp"
 2 #include <iostream>
 3 using namespace std;
 4 using namespace cv;
 5 
 6 void main()
 7 {
 8     Mat frame,resultImg;
 9     Mat templateImg = imread("E://green.jpg");
10     VideoCapture cap("E://1.mp4");
11     if(!cap.isOpened())
12         return;
13     int resultImg_cols,resultImg_rows;
14 
15     while(1)
16     {
17         cap>>frame;
18         if(frame.empty())    break;
19         Mat showImg = frame.clone();
20         resultImg_cols = frame.cols -  templateImg.cols + 1;
21         resultImg_rows = frame.rows -  templateImg.rows + 1;
22         resultImg.create(resultImg_cols, resultImg_rows, CV_32FC1);
23         matchTemplate(frame, templateImg, resultImg, CV_TM_CCOEFF_NORMED); //化相关系数匹配法(最好匹配1)
24         normalize(resultImg, resultImg, 0, 1, NORM_MINMAX);
25 
26         double minValue, maxValue;
27         Point minLoc, maxLoc;
28         Point matchLoc;
29 
30         minMaxLoc(resultImg, &minValue, &maxValue, &minLoc, &maxLoc);
31         cout<<"max_value= "<<maxValue<<endl;
32         //cout<<"min_value= "<<minValue<<endl;
33         if(maxValue>=0.7)
34             rectangle(showImg, maxLoc, Point(maxLoc.x + templateImg.cols, maxLoc.y + templateImg.rows), Scalar(0, 255, 0), 2);
35         imshow("frame", frame);
36         imshow("result", showImg);
37         if(27 == waitKey(10))
38             break;
39     }
40     destroyAllWindows();
41 
42     waitKey(0);
43 }

 1 #include "opencv2/opencv.hpp"
 2 #include <iostream>
 3 using namespace std;
 4 using namespace cv;
 5 
 6 void main()
 7 {
 8     Mat srcImg = imread("E://src.png");
 9     Mat templateImg = imread("E://temp.png");
10     Mat resultImg;
11     Mat showImg = srcImg.clone();
12 
13     int resultImg_cols = srcImg.cols -  templateImg.cols + 1;
14     int resultImg_rows = srcImg.rows -  templateImg.rows + 1;
15     
16     resultImg.create(resultImg_cols, resultImg_rows, CV_32FC1);
17     matchTemplate(srcImg, templateImg, resultImg, CV_TM_CCOEFF_NORMED); //化相关系数匹配法(最好匹配1)
18     normalize(resultImg, resultImg, 0, 1, NORM_MINMAX);
19     Mat midImg = resultImg.clone();
20 
21     //多目标模板匹配---方法一
22     /*double matchValue;
23     int count0=0;
24     int tempW=0, tempH=0;
25     char matchRate[10];
26 
27     for(int i=0; i<resultImg_rows; i++)
28     {
29         for(int j=0; j<resultImg_cols; j++)
30         {
31             matchValue = resultImg.at<float>(i, j);
32             sprintf(matchRate, "%0.2f", matchValue);
33             if(matchValue>=0.85 && (abs(j - tempW)>5) && (abs(i - tempH)>5) )
34             {
35                 count0++;
36                 putText(showImg, matchRate, Point(j-5, i-5), CV_FONT_HERSHEY_COMPLEX, 1, Scalar(0, 0, 255), 1);
37                 rectangle(showImg, Point(j, i), Point(j + templateImg.cols, i + templateImg.rows), Scalar(0, 255, 0), 2);
38                 tempW = j;
39                 tempH = i;
40             }
41         }
42     }
43     cout<<"count="<<count0<<endl;
44     imshow("resultImg", resultImg);
45     imshow("dst", showImg);*/ 
46 
47     //多目标模板匹配---方法二
48     double minValue, maxValue;
49     Point minLoc, maxLoc;
50     Point matchLoc;
51     char matchRate[10];
52     
53     for(int i=0; i<100; i++)
54     {
55         int startX = maxLoc.x - 4;
56         int startY = maxLoc.y - 4;
57         int endX = maxLoc.x + 4;
58         int endY = maxLoc.y + 4;
59         if(startX<0 || startY<0)
60         {
61             startX = 0;
62             startY = 0;
63         }
64          if(endX > resultImg.cols - 1 || endY > resultImg.rows - 1)  
65         {  
66             endX = resultImg.cols - 1;  
67             endY = resultImg.rows- 1;  
68         }  
69          Mat temp = Mat::zeros(endX - startX, endY - startY, CV_32FC1);
70          //Mat ROI = resultImg(Rect(Point(startX, startY), temp.cols, temp.rows));
71          temp.copyTo(resultImg(Rect(startX, startY, temp.cols, temp.rows)));
72          minMaxLoc(resultImg, &minValue, &maxValue, &minLoc, &maxLoc);
73          if(maxValue<0.8)    break;
74 
75          cout<<"max_value= "<<maxValue<<endl;
76          sprintf(matchRate, "%0.2f", maxValue);
77          putText(showImg, matchRate, Point(maxLoc.x - 5, maxLoc.y - 5), CV_FONT_HERSHEY_COMPLEX, 1, Scalar(0, 0, 255), 1);
78          rectangle(showImg, maxLoc, Point(maxLoc.x + templateImg.cols, maxLoc.y + templateImg.rows), Scalar(0, 255, 0), 2);
79 
80     }
81     imshow("midImg", midImg);
82     imshow("resultImg", resultImg);
83     imshow("dst", showImg);
84 
85     waitKey(0);
86 }